For your industry

AEO for solar installers: the first question changed this year.

Solar has always been bought on a spreadsheet, and in 2026 the top line of it changed — the federal credit's status is widely reported to have changed, and the first thing homeowners ask an assistant is whether solar still makes sense where they live. This page maps that question and the four after it, and what an installer can publish for its own state and utility. No prices, no payback figures, no incentive rules stated.

Updated 2026-09-19

Solar has always been bought on a spreadsheet: system size, production, the utility's rate, the incentives, the payback. In 2026 the top line changed. The federal residential credit's status is widely reported to have changed at the start of the year, and the first question a homeowner now asks an assistant is not which installer, but whether solar still makes sense for a house like theirs, in their state, with their utility. AEO for solar installers is the work of being the company whose honest, local answer to that question the assistant quotes — and this page states no incentive rule, no price and no payback figure, because the ones that stay true are the ones the installer publishes for its own market with the authority named.

The incentive question, answered without stating a rule

This page does not say what the federal change is. The research behind it read the change through installer blogs, which is not a source this site adopts, and a rule quoted on a page becomes wrong on a schedule nobody controls. What an installer can publish, and what the homeowner is actually asking, is the local version: which state and utility programs apply where you work, whether net metering exists under your utility and in what form, what your company does to help with paperwork, and the administering authority named as the source for the current rules. That page answers the first row of the chart and stays true as programs change. It is the same discipline the HVAC page applies to heat pump incentives, for the same reason.

The chart · fifteen homeowner questions, five rows

Question shapes drawn from in-session research into how homeowners phrase solar asks — not captured answers, and not a statement of any incentive rule.

Does it still make sensethe first question, and it changed this year

  • “with the federal tax credit situation changing in 2026, does solar still pay off in Massachusetts?”
  • “what state and utility incentives are actually still available where I live?”
  • “is it better to wait, or did waiting just get more expensive?”

The three quotesweeks of comparison, and none of the quotes match

  • “why do three solar quotes for my house propose three different system sizes?”
  • “what should an itemised solar quote include so I can compare like for like?”
  • “one quote is much cheaper. What is it leaving out?”

Own, lease, or PPAthe decision that follows a homeowner for twenty years

  • “what is the difference between buying, leasing, and a power purchase agreement, honestly?”
  • “what happens to a solar lease when I sell the house?”
  • “who owns the system and the incentives under each option?”

Payback and productionthe spreadsheet question, asked of a machine that will not oversell

  • “how is a payback period actually calculated, and what assumptions can make it wrong?”
  • “how much does my utility's rate structure change whether solar pays, and does net metering still exist here?”
  • “do I need a battery, or is that a separate decision?”

The installerlast, and about year eight, not day one

  • “solar installer near me that has been in business more than ten years and will still exist to honor the warranty”
  • “who services a system in year eight if the installer is gone — the manufacturer or nobody?”
  • “which local installers use their own crews rather than subcontractors?”

Three quotes, three system sizes: explain the normalisation

Homeowners get three quotes and discover none of them match, because each proposes a different system size. The research found “compare on the same system size” as the standard advice, and almost no installer explains how. A page that says what an itemised quote should include, how to normalise proposals to the same size, and what a suspiciously cheap quote is usually leaving out is the page an assistant quotes while the homeowner stares at three PDFs — and it is trusted because it teaches the comparison rather than winning it.

Own, lease, or PPA: the twenty-year question

Who owns the system and the incentives under each model, what happens at the sale of the house, what each means over two decades. Homeowners ask an assistant because they suspect the sales conversation is steered. A plain explanation of the three, with no recommendation for any household and a clear statement of which your company offers and why, is the honest page and the one that gets quoted.

Payback: explain the assumptions, never the number

How a payback period is calculated, which assumptions can make it wrong — rate changes, production estimates, roof work, financing interest — and what a utility's rate structure does to the math. An installer that explains the spreadsheet is trusted when it fills one in.

The behavior underneath the spreadsheet

45%

of US consumers used a generative AI tool for local business recommendations in the past year — up from 6% the year before

Source: BrightLocal Local Consumer Review Survey, 2026 · 1,002 US adult consumers, SurveyMonkey panel

Solar pushes the spreadsheet form of this behavior: three quotes that do not match, a suspicion of every salesperson, and a wish to check the math with something that earns no commission.

And 41% of consumers now always read reviews when browsing for a business, up from 29% the year before. In this trade the review that decides is written years after the install — did the system produce what was promised, did anyone answer in year five — and the last row of the chart shows homeowners asking about year eight, not day one.

The installer question is about year eight

The research found the installer question framed around longevity rather than price: will the company exist to honor the warranty, who services the system if it does not, are the crews employees or subcontractors. An industry with a history of installers disappearing has taught homeowners to ask. State your years, your crews, your warranty and who backs it, and what happens to service if your company were ever gone. Most installer sites replace that page with a savings calculator, which is exactly why writing it wins.

Local Services Ads, precisely

  • Local Services Ads sit above the standard search ads and the map pack on service queries, and are billed per lead rather than per click.
  • Eligibility runs through a background and licensing check that produces the Google Guaranteed badge — a verification signal the contractor earns once and carries.
  • The placement is a Google surface only. A ChatGPT, Gemini, or Perplexity answer to the same question does not read it, which is why a contractor can dominate LSA and be absent from the assistant answer on the same day.

What gets built, and in what order

  • The does-it-still-make-sense page first, for your state and utility, with the authority named and no rule stated.
  • The three-quotes page, what an itemised quote includes and how to normalise.
  • The ownership-models page, plain, no recommendation.
  • The payback-assumptions page, mechanism only.
  • The year-eight page, years, crews, warranty, continuity.
  • The entity pass. Company name, licenses, service area in text, years, crews, organization and local-business schema matching the visible page. Google states no special markup is required to appear in AI Overviews or AI Mode — schema is for unambiguous parsing and classic rich results.

One prepared move per day, held in the approve queue, published only when the owner approves it.

How you know whether it worked

Scans re-ask the same homeowner questions on a schedule, so the record is a before and after rather than an assurance. Approved pages are submitted to Bing within minutes of going live, and Bing standing is the fastest indicator — independent testing found roughly 87% of ChatGPT's citations match Bing's top results (Seer Interactive, 2026), a measured correlation and not a mechanism OpenAI documents. Citations run to a median of about 6.8 days after indexing, with roughly 42% of pages cited within 30 days, in practitioner testing across 2026 (Semrush / practitioner testing, 2026). No date is promised. And 40–60% of the sources AI cites change every month (eMarketer, 2026).

09 · FAQ

What solar installers ask before they start.

What changed in 2026, and what can we say about it?
The federal residential credit's status is widely reported to have changed at the start of 2026, and the first question homeowners now ask an assistant is whether solar still makes sense for them. This page states no percentage, no eligibility rule and no date as fact — the research behind it read the change through installer blogs, which is not a source we adopt — and neither should your site. What an installer can and should publish is the page that answers the question for its own state and utility: which state and utility programs apply where you work, what your company does to help with them, and the administering authority named for the current rules. That page stays true as programs change; a page quoting a figure becomes wrong on a schedule you do not control.
Should we publish system prices or payback periods?
Not figures — this page states none, because every one depends on the roof, the utility's rate structure, the state, the equipment and the assumptions. What answers the homeowner is the logic: what an itemised quote includes, why three quotes propose three system sizes and how to normalise them, how a payback period is calculated and which assumptions can make it wrong, what a utility's rate structure and net-metering status do to the math. An installer that explains the spreadsheet is trusted when it fills one in.
Own, lease, or PPA — that is a sales conversation.
It is also the third row of the chart, asked of an assistant precisely because homeowners suspect the sales conversation is steered. A plain explanation of the three models — who owns the system and the incentives under each, what happens at a sale of the house, what each means over twenty years — with no recommendation for any household, is the honest page and the one that gets quoted. Say which you offer and why; leave the choice to the homeowner and their own advisor.
Do homeowners really ask AI about solar?
BrightLocal's 2026 Local Consumer Review Survey, run on a panel of 1,002 US adults, found 45% had used a generative AI tool for local business recommendations in the past year, up from 6% the year before, with AI assistants third among discovery channels. Solar pushes the spreadsheet form of that behavior: the homeowner has three quotes that do not match, suspects every salesperson, and wants something to check the math without a commission. There is no vertical configuration for this trade in our model, so this page carries no worked example and no modeled case value.
The last row is about year eight. Why?
Because the research behind this page found the installer question framed around longevity, not price: will the company exist to honor the warranty, who services the system if it does not, are the crews employees. An industry with a history of installers disappearing has taught homeowners to ask. An installer that states its years in business, its crews, its warranty and who backs it, and what happens to service if it were ever gone, is answering the question that decides the contract — and it is one most installer sites replace with a savings calculator.
How long before it shows up?
No honest date. In practitioner testing across 2026, pages that got cited reached a first ChatGPT citation at a median of about 6.8 days once indexed, with roughly 42% cited within 30 days (Semrush / practitioner testing, 2026). Bing standing moves faster and is the indicator to watch, since independent testing found roughly 87% of ChatGPT's citations match Bing's top results (Seer Interactive, 2026) — a measured correlation, not an OpenAI-documented mechanism. And 40–60% of the sources AI cites change every month (eMarketer, 2026).

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